A Two-Step Procedure to Measure Representativeness of Internet Data Sources

Maciej Beręsewicz


So far, statistics has mainly relied on information collected from censuses and sample surveys, which are used to produce statistics about selected characteristics of the population. However, because of cost cuts and increasing non-response in sample surveys, statisticians have started to search for new sources of information, such as registers, Internet data sources (IDSs, i.e. web portals) or big data. Administrative sources are already used for purposes of official statistics, while the suitability of the latter two sources is currently being discussed in the literature. Unfortunately, only a few papers devoted to statistical theory point out methodological problems related to the use of IDSs, particularly in the context of survey methodology. The unknown generation mechanism and the complexity of such data are often neglected in view of their size. Hence, before IDSs can be used for statistical purposes, especially for official statistics, they need to be assessed in terms of such fundamental issues as representativeness, non-sampling errors or bias. The paper attempts to fill the first gap by proposing a two-step procedure to measure representativeness of IDSs. The procedure will be exemplified using data about the secondary real estate market in Poland.
Author Maciej Beręsewicz (WIiGE / KS)
Maciej Beręsewicz,,
- Department of Statistics
Journal seriesInternational Statistical Review, ISSN 0306-7734, (A 35 pkt)
Issue year2017
Publication size in sheets1
Keywords in Englishrepresentativeness, self-selection mechanism, non-probabilistic samples, Internet data sources, big data, real estate market
ASJC Classification1804 Statistics, Probability and Uncertainty; 2613 Statistics and Probability
URL https://onlinelibrary.wiley.com/doi/epdf/10.1111/insr.12217
Languageen angielski
Score (nominal)35
Score sourcejournalList
ScoreMinisterial score = 35.0, 11-03-2020, ArticleFromJournal
Publication indicators WoS Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.88; WoS Impact Factor: 2017 = 2.053 (2) - 2017=2.09 (5)
Citation count*7 (2020-10-18)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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